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首页> 外文期刊>Journal of combinatorial optimization >Fast On-Line/Off-Line Algorithms for Optimal Reinforcement of a Network and its Connections with Principal Partition
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Fast On-Line/Off-Line Algorithms for Optimal Reinforcement of a Network and its Connections with Principal Partition

机译:快速在线/离线算法,用于网络的最佳加固及其与主要分区的连接

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摘要

The problem of computing the strength and performing optimal reinforcement for an edge-weighted graph G(V, E, w) is well-studied. In this paper, we present fast(sequential linear time and parallel logarithmic time) on-line algorithms for optimally reinforcing the graph when the reinforcement material is available continuously on-line. These are the first on-line algorithms for this problem. We invest O(|V|~3|E|log|V|) time (equivalent to Ω(|V|) invocations of the fastest known algorithms for optimal reinforcement) in preprocessing the graph before the start of our algorithms. It is shown that the output of our on-line algorithms is as good as that of the off-line algorithms. Thus our algorithms are better than the fastest off-line algorithms in situations when a sequence of more than Ω(|V|) reinforcement problems need to be solved. The key idea is to make use of ideas underlying the theory of Principal Partition of a Graph. Our ideas are easily generalized to the general setting of polymatroid functions. We also present a new efficient algorithm for computation of the Principal Sequence of a graph.
机译:计算强度和对边缘加权图G(V,E,W)进行最佳增强的问题是很好地研究的。在本文中,我们在线算法呈现快速(连续的线性时间和并行对数时间)在线算法,以便在加强材料在线中连续可用时最佳地加强曲线图。这些是此问题的第一个在线算法。我们投资O(|〜3 | e | log | v | v |)时间(相当于最快的已知算法的ω(| v |)调用,以便在算法开始之前预处理图表。结果表明,我们的在线算法的输出与离线算法一样好。因此,当需要解决大于Ω(| V |)增强问题的序列时,我们的算法比在情况下最快的离线算法。关键的想法是利用暗示图形主分区理论的想法。我们的想法很容易推广到Polycatroid功能的一般设置。我们还提出了一种新的高效算法,用于计算图形的主要序列。

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